Job Description

About the Role

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The Java AI Lead will be responsible for leading the design, development, and maintenance of enterprise-grade applications, ensuring high standards of quality and performance.

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Responsibilities

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Hands-on Software Engineering

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- Design, develop, test and maintain enterprise-grade applications using Java, J2EE, Spring Boot and related frameworks.
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- Build secure, scalable and resilient microservices, REST APIs and event-driven components.
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- Apply clean-code, SOLID, domain-driven design and twelve-factor application principles.
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- Produce maintainable, testable and production-ready code with appropriate technical documentation.
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- Perform code reviews, troubleshoot complex issues, optimise performance and reduce technical debt.
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Modernisation Delivery

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- Analyse and reverse engineer legacy applications, interfaces, data flows and business rules.
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- Translate legacy functionality into contemporary service boundaries, APIs and cloud-native implementation patterns.
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- Contribute to solution design, decomposition, dependency analysis, migration planning and cutover readiness.
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- Create reusable engineering accelerators, templates and reference implementations for modernisation squads.
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GCP/AWS and GKE Engineering

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- Develop, containerise and deploy workloads on Google Kubernetes Engine within Google Cloud Platform.
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- Work with Docker, Kubernetes manifests or Helm, configuration management, secrets, service accounts, ingress and workload identity.
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- Contribute to CI/CD pipelines, automated quality gates, observability, logging, monitoring and production support.
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- Engineer for reliability, scalability, fault tolerance,



cost awareness and operational supportability.
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Security, Risk and Compliance

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- Apply secure-by-design and privacy-by-design practices throughout the software development lifecycle.
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- Follow OWASP guidance, secure coding standards, least-privilege access, secrets management, encryption and API security practices.
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- Remediate vulnerabilities identified through SAST, DAST, software composition analysis, container scanning and penetration testing.
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- Maintain traceability and evidence required for enterprise governance, audit, change management and regulatory compliance.
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- Ensure AI-generated outputs are reviewed, validated and handled in accordance with data classification, intellectual property and responsible-AI policies.
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Ownership and Collaboration

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- Work independently with minimal supervision while proactively escalating risks, decisions and dependencies.
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- Collaborate with architects, product owners, domain SMEs, platform teams, security teams, testers and SRE/operations teams.
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- Mentor engineers, promote engineering standards and contribute constructively to design and code reviews.
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- Demonstrate accountability for committed outcomes, quality, timelines and production readiness.
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Qualifications

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Experience Range - 9-14 Years

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Location - Bangalore & Noida

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Required Skills

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- Proficiency in Java, J2EE, Spring Boot
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- Experience with microservices and REST APIs
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- Knowledge of cloud platforms like GCP and AWS
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- Understanding of security practices in software development
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Preferred Skills

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- Experience with Docker and Kubernetes
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- Familiarity with CI/CD pipelines
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- Knowledge of OWASP guidelines
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📌 Java AI Lead (Bengaluru)
🏢 Coforge
📍 Bengaluru